The Information Content of Money in Forecasting Euro Area Inflation

This paper contributes to the debate on the role of money in monetary policy by analyzing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using Bayesian and other estimation techniques. We find that money contains relevant information for inflation in some model classes. Money-based New Keynesian DSGE models and VARs incorporating money perform better than their cashless counterparts. But there are also indications that the contribution of money has its limits. The marginal contribution of money to forecasting accuracy is often small, money adds little to dynamic factor models, and it worsens forecasting accuracy of partial equilibrium models. Finally, non-monetary models dominate monetary models in an all-out horserace.
Publication date: July 2008
ISBN: 9781451870244
$18.00
Add to Cart by clicking price of the language and format you'd like to purchase
Available Languages and Formats
English
Prices in red indicate formats that are not yet available but are forthcoming.
Topics covered in this book

This title contains information about the following subjects. Click on a subject if you would like to see other titles with the same subjects.

Inflation , Information content of money , inflation forecasting , New Keynesian model , DSGE model , P , model , Two-pillar Phillips curve , VAR model , general dynamic factor model , Bayesian estimation , aggregate demand , real money , money growth , P

Summary